Unknown

Dataset Information

0

TRAL 2.0: Tandem Repeat Detection With Circular Profile Hidden Markov Models and Evolutionary Aligner.


ABSTRACT: The Tandem Repeat Annotation Library (TRAL) focuses on analyzing tandem repeat units in genomic sequences. TRAL can integrate and harmonize tandem repeat annotations from a large number of external tools, and provides a statistical model for evaluating and filtering the detected repeats. TRAL version 2.0 includes new features such as a module for identifying repeats from circular profile hidden Markov models, a new repeat alignment method based on the progressive Poisson Indel Process, an improved installation procedure and a docker container. TRAL is an open-source Python 3 library and is available, together with documentation and tutorials via vital-it.ch/software/tral.

SUBMITTER: Delucchi M 

PROVIDER: S-EPMC9581039 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

altmetric image

Publications

TRAL 2.0: Tandem Repeat Detection With Circular Profile Hidden Markov Models and Evolutionary Aligner.

Delucchi Matteo M   Näf Paulina P   Bliven Spencer S   Anisimova Maria M  

Frontiers in bioinformatics 20210625


The Tandem Repeat Annotation Library (TRAL) focuses on analyzing tandem repeat units in genomic sequences. TRAL can integrate and harmonize tandem repeat annotations from a large number of external tools, and provides a statistical model for evaluating and filtering the detected repeats. TRAL version 2.0 includes new features such as a module for identifying repeats from circular profile hidden Markov models, a new repeat alignment method based on the progressive Poisson Indel Process, an improv  ...[more]

Similar Datasets

| S-EPMC2770071 | biostudies-literature
| S-EPMC5860389 | biostudies-literature
| S-EPMC3356369 | biostudies-literature
| S-EPMC5774701 | biostudies-literature
| S-EPMC4139300 | biostudies-literature
| S-EPMC2685388 | biostudies-literature
| S-EPMC2857806 | biostudies-other
| S-EPMC3563974 | biostudies-literature
| S-EPMC3751962 | biostudies-literature
| S-EPMC2883304 | biostudies-literature